T

R32931 - Product Owner

Talpro India
Full-time
On-site
Bangalore North, Karnataka, India

Product Owner

Experience:    5 + years 

No of Positions : 1

NP- 15- 30 days Max

Budget : 28 LPA

Hybrid model

 

·       Department Description

Site reliability engineering department is responsible for ensuring reliability and maintainability of hardware, software processes, network facilities, controls, and security systems. It is also responsible for effective utilization of predictive and other non-destructive methodologies designed to identify and isolate inherent reliability problems.

·        

Job Description

As a Product Owner on this team, you will be a key contributor to monitoring automation of infrastructure, network and application services & development activities.  Our teams are developing services & tools to support other Motorola Solutions' engineering teams as well as deliver solutions to our customers. You will be working on a high-velocity, results-oriented team that leverages cutting-edge technologies and techniques. The right individual will be motivated and will have a passion for automation, deployment processes and enabling innovation. Your efforts will help to shape the engineering culture and best practices across Motorola Solutions’ Unified Communication organization .

 

Basic Requirements

 

Responsibilities will include:

·       Design and implementation of the Analytics Platform and Big Data services

·       Creates a prototype of a new product in order to iron out flaws in the final design

·       Automate monitoring of network performance, application performance and service integrity

·       Operation of an Elasticsearch cluster, Prometheus cluster  used by our services 

·       Understand complex network and application infrastructure and build tools that help engineers to monitor, triage and troubleshoot issues from the network all the way through the application stack in public and private cloud environments.

·        Develop custom data models and algorithms. Use Data analytics techniques and predictive modeling to increase and optimize customer experiences, revenue generation and other business outcomes.

·       Analyze and troubleshoot complex problems in a large data sets and use them to identify trends and reach meaningful conclusions to inform strategic business decisions

·       Research and experiment with key technologies, architectures, and standards

·       Attend daily stand-up meetings, collaborate with peers, prioritize features, and work with a sense of urgency to deliver value to customers

·        

Qualifications:

 

·       BS/MS in Computer Science (or equivalent degree) with 5+ years of professional software development

·       Experience as a team lead leading development work by example

·       Experience with building applications against and operating an Elasticsearch, Prometheus  cluster.

·       Familiarity with modern development operations tooling (Trace based application performance monitoring, docker containers, and similar)

·       Solid coding and service development skills, with experience in at least one of the following toolsets or languages: Python,  NodeJS, Go

·       Experience with development of custom network services (HTTP, WebSockets, or similar)

·       Experience with monitoring tools 

·       Experience with web infrastructure and distributed systems; Background on services and cloud computing (Microsoft Azure or Amazon Web Services) a plus

·       Strong experience with microservices and containers is a plus

·       Develop quality scalable, tested and reliable applications using industry best practices

·       Ability to work in a fast paced, evolving, growing and agile environment

·       Excellent communications skills and the ability to present complex topics to nontechnical audiences

·       Self motivated and able to maintain focus in a pressured environment

 

Primary Skills 

·       Experience working with languages such as Python, NodeJS, JavaScript or Go

·       Observability Tools (ELK Stack, Prometheus)

·       A solid understanding of data mining/data analytics techniques

·       Expertise in SQL databases

·       Familiarity with agile development methodology

·       CI/CD

·       Big Data

·       Kafka

·       Spark

·       ETL

·       Hadoop

·       Hive, Pig

Nice to have Skills:

·       Knowledge of Kubernetes 

·       Cloud Services such as ADLS, ADBS etc.

·       Front end Development - Angular 

·       Azure DevOps